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75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
import logging
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import time
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import click
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from celery import shared_task
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from flask import current_app
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from core.index.index import IndexBuilder
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from core.index.vector_index.vector_index import VectorIndex
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from extensions.ext_database import db
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from models.dataset import DocumentSegment, Dataset, DatasetKeywordTable, DatasetQuery, DatasetProcessRule, \
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AppDatasetJoin, Document
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@shared_task(queue='dataset')
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def clean_dataset_task(dataset_id: str, tenant_id: str, indexing_technique: str,
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index_struct: str, collection_binding_id: str):
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"""
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Clean dataset when dataset deleted.
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:param dataset_id: dataset id
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:param tenant_id: tenant id
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:param indexing_technique: indexing technique
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:param index_struct: index struct dict
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:param collection_binding_id: collection binding id
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Usage: clean_dataset_task.delay(dataset_id, tenant_id, indexing_technique, index_struct)
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"""
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logging.info(click.style('Start clean dataset when dataset deleted: {}'.format(dataset_id), fg='green'))
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start_at = time.perf_counter()
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try:
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dataset = Dataset(
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id=dataset_id,
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tenant_id=tenant_id,
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indexing_technique=indexing_technique,
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index_struct=index_struct,
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collection_binding_id=collection_binding_id
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)
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documents = db.session.query(Document).filter(Document.dataset_id == dataset_id).all()
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segments = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
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kw_index = IndexBuilder.get_index(dataset, 'economy')
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# delete from vector index
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if dataset.indexing_technique == 'high_quality':
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vector_index = IndexBuilder.get_default_high_quality_index(dataset)
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try:
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vector_index.delete_by_group_id(dataset.id)
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except Exception:
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logging.exception("Delete doc index failed when dataset deleted.")
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# delete from keyword index
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try:
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kw_index.delete()
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except Exception:
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logging.exception("Delete nodes index failed when dataset deleted.")
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for document in documents:
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db.session.delete(document)
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for segment in segments:
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db.session.delete(segment)
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db.session.query(DatasetProcessRule).filter(DatasetProcessRule.dataset_id == dataset_id).delete()
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db.session.query(DatasetQuery).filter(DatasetQuery.dataset_id == dataset_id).delete()
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db.session.query(AppDatasetJoin).filter(AppDatasetJoin.dataset_id == dataset_id).delete()
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db.session.commit()
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end_at = time.perf_counter()
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logging.info(
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click.style('Cleaned dataset when dataset deleted: {} latency: {}'.format(dataset_id, end_at - start_at), fg='green'))
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except Exception:
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logging.exception("Cleaned dataset when dataset deleted failed")
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